Cognitive function is associated with impaired heart rate variability in ageing adults: the Irish longitudinal study on ageing wave one results.
Open accessAbstract
Objective To examine the independent association between heart rate variability (HRV) and cognitive performance, in a nationally representative population study of older adults.Methods Cross-sectional analysis of wave 1 data from the Irish longitudinal study on ageing (TILDA) was performed. A subset of 4,763 participants who underwent ECG recording during resting and paced breathing periods were used for the analysis. HRV indices were divided into quintiles for comparison of values and cognitive performance was defined using the Montreal cognitive assessment (MOCA) score. Multivariate linear regression was used to model the association between cognition and different quintiles of each HRV index, after adjustment for covariates.Results The mean age was 61.7 ± 8.3 years and 2,618 (55 %) were female. Lower quintiles of SDNN (P = 0.01-paced), LF (P = 0.001-paced), and LF:HF ratio (P = 0.049-paced) were significantly associated with lower MOCA scores (during both recording periods), independent of confounders. Sub-domains of MOCA responsible for the relationship were predominantly memory recall and language.Interpretation Reduced HRV is significantly associated with lower cognitive performance at a population level in people aged 50 and older. This further strengthens the relationship between autonomic dysfunction and cognitive disorders.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
High heart rate variability increases control over memory and helps suppress unwanted memories, while low heart rate variability worsens performance in short and long-term verbal memory.
“High HRV increases control over memory and helps suppress unwanted memories (Gillie et al., 2014), while low HRV worsens performance in short and long-term verbal memory (Frewen et al., 2013).”
From Remembering what did not happen: the role of hypnosis in memory recall and false memories formation (2025) · cites this paper as Frewen et al., 2013
The Results (page not supplied) associate lower HRV with poorer memory recall and language performance in adults over 50. They do not distinguish short- from long-term verbal memory, and the paper says the direction of causality remains to be explored; it does not establish that low HRV worsens performance. The separate claim about suppressing unwanted memories is attributed to Gillie et al., not Frewen et al. (LLM, conf=0.87)
Experimental — accuracy not yet measuredResting-state HRV is associated with cognitive performance.
“resting-state HRV is associated with cognitive performance (Hansen et al., 2003; Frewen et al., 2013; Gillie et al., 2014; Zeki Al Hazzouri et al., 2014; Colzato et al., 2018)”
From Dose-Response Matters! - A Perspective on the Exercise Prescription in Exercise-Cognition Research (2019) · cites this paper as Frewen et al., 2013
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
The CES-D Scale: A Self-Report Depression Scale for Research in the General Population
Radloff, L. S. (1977) · Applied Psychological Measurement · doi:10.1177/014662167700100306 · Cited by 53,267 · see citing works
The Hospital Anxiety and Depression Scale
Zigmond, A. S., & Snaith, R. P. (1983) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.1983.tb09716.x · Cited by 47,139 · see citing works
The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment
Nasreddine, Z. S., Phillips, N. A., Bédirian, V., Charbonneau, S., Whitehead, V., Collin, I., Cummings, J. L., & Chertkow, H. (2005) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2005.53221.x · Cited by 25,553 · see citing works
Heart Rate Variability: Standards of Measurement, Physiological Interpretation, and Clinical Use
Electrophysiology, T. F. O. T. E. S. O. C. T. N. A. (1996) · Circulation · doi:10.1161/01.cir.93.5.1043 · Cited by 17,159 · see citing works
Heart rate variability: Standards of measurement, physiological interpretation, and clinical use
Malik, M., Bigger, J. T., Camm, A. J., Kleiger, R. E., Malliani, A., Moss, A. J., & Schwartz, P. J. (1996) · European Heart Journal · doi:10.1093/oxfordjournals.eurheartj.a014868 · Cited by 15,289 · see citing works
Guidelines for the management of atrial fibrillation
Authors/Task Force Members, Camm, A. J., Kirchhof, P. F., Lip, G. Y. H., Schotten, U., Savelieva, I., Ernst, S., Gelder, I. C. V., Al‐Attar, N., Hindricks, G., et al. (2010) · European Heart Journal · doi:10.1093/eurheartj/ehq278 · Cited by 5,875 · see citing works
The Alzheimer’s disease neuroimaging initiative (ADNI): MRI methods
Jack, C. R., Bernstein, M. A., Fox, N. C., Thompson, P., Alexander, G., Harvey, D., Borowski, B., Britson, P. J., L. Whitwell, J., Ward, C., et al. (2008) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21049 · Cited by 4,347 · see citing works
Initiative, T. A. D. N., Hollingworth, P., CHARGE consortium, EADI1 consortium, Harold, D., Sims, R., Gerrish, A., Lambert, J.-C., Carrasquillo, M. M., Abraham, R., et al. (2011) · Nature Genetics · doi:10.1038/ng.803 · Cited by 1,997 · see citing works
Guidelines for the management of atrial fibrillation
Authors/Task Force Members, Camm, A. J., Kirchhof, P. F., Lip, G. Y. H., Schotten, U., Savelieva, I., Ernst, S., Gelder, I. C. V., Al‐Attar, N., Hindricks, G., et al. (2010) · EP Europace · doi:10.1093/europace/euq350 · Cited by 1,749 · see citing works
NUNAN, D., SANDERCOCK, G. R. H., & BRODIE, D. A. (2010) · Pacing and Clinical Electrophysiology · doi:10.1111/j.1540-8159.2010.02841.x · Cited by 874 · see citing works
The cholinergic anti-inflammatory pathway
Pavlov, V. A., & Tracey, K. J. (2005) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2005.03.015 · Cited by 622 · see citing works
Reduced Heart Rate Variability and New-Onset Hypertension
Singh, J. P., Larson, M. G., Tsuji, H., Evans, J. C., O’Donnell, C. J., & Levy, D. A. (1998) · Hypertension · doi:10.1161/01.hyp.32.2.293 · Cited by 561 · see citing works
Lee, J., Lee, D. W., Cho, S., Na, D. L., Jeon, H. J., Kim, S.-K., Lee, Y. R., Youn, J. H., Kwon, M., Lee, J., et al. (2008) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/0891988708316855 · Cited by 516 · see citing works
Ewers, M., Walsh, C., Trojanowski, J. Q., Shaw, L. M. J., Petersen, R. C., Jack, C. R., Feldman, H., Bokde, A. L. W., Alexander, G. E., Scheltens, P., et al. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.10.019 · Cited by 397 · see citing works
Sajadieh, A. (2004) · European Heart Journal · doi:10.1016/j.ehj.2003.12.003 · Cited by 393 · see citing works
Cohort Profile: The Irish Longitudinal Study on Ageing
Kearney, P. M., Cronin, H., O’Regan, C., Kamiya, Y., Savva, G. M., Whelan, B., & Kenny, R. A. (2011) · International Journal of Epidemiology · doi:10.1093/ije/dyr116 · Cited by 351 · see citing works
Self-citationRahman, F., Pechnik, S., Gross, D., Sewell, L., & Goldstein, D. S. (2011) · Clinical Autonomic Research · doi:10.1007/s10286-010-0098-y · Cited by 337 · see citing works
Systemic markers of inflammation and cognitive decline in old age
Schram, M. T., Euser, S. M., De Craen, A. J. M., Witteman, J. C., Frölich, M., Hofman, A., Jolles, J., Breteler, M. M. B., & Westendorp, R. G. J. (2007) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2007.01159.x · Cited by 326 · see citing works
The reliability of short-term measurements of heart rate variability
Sandercock, G. R. H., Bromley, P. D., & Brodie, D. A. (2005) · International Journal of Cardiology · doi:10.1016/j.ijcard.2004.09.013 · Cited by 307 · see citing works
Carnethon, M. R., Golden, S. H., Folsom, A. R., Haskell, W. L., & Liao, D. (2003) · Circulation · doi:10.1161/01.cir.0000066324.74807.95 · Cited by 270 · see citing works
RR Interval Variability Is Inversely Related to Inflammatory Markers: The CARDIA Study
Sloan, R. P., McCreath, H., Tracey, K. J., Sidney, S., Liu, K., & Seeman, T. (2007) · Molecular Medicine · doi:10.2119/2006-00112.sloan · Cited by 264 · see citing works
Heart rate variability measures: a fresh look at reliability
Pinna, G. D., Maestri, R., Toruński, A., Daniłowicz‐Szymanowicz, L., Szwoch, M., Rovere, M. T. L., & Raczak, G. (2007) · Clinical Science · doi:10.1042/cs20070055 · Cited by 262 · see citing works
A noradrenergic theory of cognitive reserve: implications for Alzheimer's disease
Robertson, I. H. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.05.019 · Cited by 240 · see citing works
Cui, Y. J., Liu, B., Luo, S., Zhen, X., Fan, M., Liu, T., Zhu, W., Park, M., Jiang, T., Jin, J. S., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0021896 · Cited by 237 · see citing works
Bischkopf, J., Busse, A., & Angermeyer, M. C. (2002) · Acta Psychiatrica Scandinavica · doi:10.1034/j.1600-0447.2002.01417.x · Cited by 236 · see citing works
Mielke, M. M., Okonkwo, O. C., Oishi, K., Mori, S., Tighe, S. K., Miller, M. I., Ceritoglu, C., Brown, T., Albert, M., & Lyketsos, C. G. (2012) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2011.05.2416 · Cited by 209 · see citing works
Trollor, J. N., Smith, E., Agars, E., Kuan, S. A., Baune, B. T., Campbell, L. V., Samaras, K., Crawford, J., Lux, O., Kochan, N. A., et al. (2011) · AGE · doi:10.1007/s11357-011-9301-x · Cited by 204 · see citing works
The Role of Inflammation in the Pathogenesis of Delirium and Dementia in Older Adults: A Review
Simone, M. J., & Tan, Z. S. (2010) · CNS Neuroscience & Therapeutics · doi:10.1111/j.1755-5949.2010.00173.x · Cited by 197 · see citing works
Pulse Pressure and Risk of Alzheimer Disease in Persons Aged 75 Years and Older
Qiu, C., Winblad, B. G., Viitanen, M. H., & Fratiglioni, L. (2003) · Stroke · doi:10.1161/01.str.0000060127.96986.f4 · Cited by 184 · see citing works
Dietrich, D. F., Schindler, C., Schwartz, J. D., Barthélemy, J., Tschopp, J.-M., Roche, F., von Eckardstein, A., Brändli, O., Leuenberger, P., Gold, D. R., et al. (2006) · EP Europace · doi:10.1093/europace/eul063 · Cited by 150 · see citing works
van Rossum, I. A., Vos, S. J. B., Handels, R. L. H., & Visser, P. J. (2010) · Journal of Alzheimer s Disease · doi:10.3233/jad-2010-091606 · Cited by 143 · see citing works
Autonomic brainstem nuclei are linked to the hippocampus
Castle, M., Comoli, E., & Loewy, A. D. (2005) · Neuroscience · doi:10.1016/j.neuroscience.2005.04.031 · Cited by 141 · see citing works
Alcohol and Cognition in the Elderly: A Review
Kim, J. W., Lee, D. Y., Lee, B. C., Jung, M. H., Kim, H., Choi, Y. S., & Choi, I. (2012) · Psychiatry Investigation · doi:10.4306/pi.2012.9.1.8 · Cited by 138 · see citing works
Hypertension and Cognitive Functioning
Elias, M. F., Goodell, A. L., & Dore, G. A. (2012) · Hypertension · doi:10.1161/hypertensionaha.111.186429 · Cited by 136 · see citing works
Tan, Z. S., Beiser, A., Fox, C. S., Au, R., Himali, J. J., Debette, S., DeCarli, C. S., Vasan, R. S., Wolf, P. A., & Seshadri, S. S. (2011) · Diabetes Care · doi:10.2337/dc11-0308 · Cited by 135 · see citing works
Kim, D. H., Lipsitz, L. A., Ferrucci, L., Varadhan, R., Guralnik, J. M., Carlson, M. C., Fleisher, L. A., Fried, L. P., & Chaves, P. H. M. (2006) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2006.00940.x · Cited by 123 · see citing works
NICOLINI, P., Ciulla, M. M., de Asmundis, C., Magrini, F., & Brugada, P. (2012) · Pacing and Clinical Electrophysiology · doi:10.1111/j.1540-8159.2012.03335.x · Cited by 122 · see citing works
Is Heart Rate Variability Related to Memory Performance in Middle-Aged Men?
Shah, A. J., Su, S., Veledar, E., Bremner, J. D., Goldstein, F. C., Lampert, R. J., Goldberg, J. H., & Vaccarino, V. (2011) · Psychosomatic Medicine · doi:10.1097/psy.0b013e3182227d6a · Cited by 88 · see citing works
Rountree, S. D., Waring, S. C., Chan, W. C., Lupo, P. J., Darby, E. J., & Doody, R. S. (2007) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000110800 · Cited by 86 · see citing works
Baumert, M., Lambert, G. W., Dawood, T., Lambert, É., Esler, M., McGrane, M. T., Barton, D., & Nalivaiko, E. (2008) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.00301.2008 · Cited by 74 · see citing works
The Association between Heart Rate Variability and Cognitive Impairment in Middle-Aged Men and Women
Britton, A. R., Singh‐Manoux, A., Hnatkova, K., Malík, M., Marmot, M. G., & Shipley, M. J. (2008) · Neuroepidemiology · doi:10.1159/000148257 · Cited by 73 · see citing works
Wolf, P. A. (2012) · Archives of Neurology · doi:10.1001/archneurol.2011.977 · Cited by 70 · see citing works
The role of lipoproteins and inflammation in cognitive decline: Do they interact?
van den Kommer, T. N., Dik, M. G., Comijs, H. C., Jonker, C., & Deeg, D. J. H. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.05.024 · Cited by 64 · see citing works
Moak, J. P., Goldstein, D. S., Eldadah, B. A., Saleem, A., Holmes, C. S., Pechnik, S., & Sharabi, Y. (2009) · Cleveland Clinic Journal of Medicine · doi:10.3949/ccjm.76.s2.11 · Cited by 60 · see citing works
Things to watch out for when using the Montreal cognitive assessment (MoCA)
Coen, R. F., Cahill, R., & LAWLOR, B. A. (2010) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.2471 · Cited by 35 · see citing works
Self-citationSystemic inflammation and circadian rhythm of cardiac autonomic modulation
Li, X., Shaffer, M. L., Rodriguez-Colon, S. M., He, F., Bixler, E. O., Vgontzas, A. N., Wolbrette, D. L., Wu, C., Ball, R. W., & Liao, D. (2011) · Autonomic Neuroscience · doi:10.1016/j.autneu.2011.03.002 · Cited by 17 · see citing works
Sandercock, G., Gladwell, V., Dawson, S., Nunan, D., Brodie, D. A., & Beneke, R. (2008) · Physiological Measurement · doi:10.1088/0967-3334/29/7/008 · Cited by 16 · see citing works
The next-generation holter revolution: from analyse-edit-print to analyse-print
Pardey, J., & Jouravleva, S. (2005) · Computers in cardiology · doi:10.1109/cic.2004.1442950 · Cited by 12 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Whelan BJ (1979) RANSAM: A random sampling design for Ireland. Econ Soc Rev 10(2):169-175
Cited by
Sorted by citations
Heart rate variability and cognitive function: a systematic review
Forte, G., Favieri, F., & Casagrande, M. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00710 · Cited by 587 · see citing works
Diabetes and Cognitive Impairment
Zilliox, L. A., Chadrasekaran, K., Kwan, J. Y., & Russell, J. W. (2016) · Current Diabetes Reports · doi:10.1007/s11892-016-0775-x · Cited by 555 · see citing works
Digital biomarkers for Alzheimer’s disease: the mobile/wearable devices opportunity
Kourtis, L. C., Regele, O. B., Wright, J. M., & Jones, G. B. (2019) · npj Digital Medicine · doi:10.1038/s41746-019-0084-2 · Cited by 476 · see citing works
Dose-Response Matters! - A Perspective on the Exercise Prescription in Exercise-Cognition Research
Herold, F., Müller, P., Gronwald, T., & Müller, N. G. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.02338 · Cited by 196 · see citing works
Cassarino, M., & Setti, A. (2015) · Ageing Research Reviews · doi:10.1016/j.arr.2015.06.003 · Cited by 180 · see citing works
Heart rate variability alterations in late life depression: A meta-analysis
Brown, L., Karmakar, C., Gray, R., Jindal, R., Lim, T., & Bryant, C. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2018.04.071 · Cited by 108 · see citing works
van Wijnen, V. K., Finucane, C., Harms, M. P. M., Nolan, H., Freeman, R. L., Westerhof, B. E., Kenny, R. A., ter Maaten, J. C., & Wieling, W. (2017) · Journal of Internal Medicine · doi:10.1111/joim.12636 · Cited by 100 · see citing works
Self-citationFatigue following COVID-19 infection is not associated with autonomic dysfunction
Townsend, L., Moloney, D. J., Finucane, C., McCarthy, K., Bergin, C. J., Bannan, C., & Kenny, R. A. (2021) · PLoS ONE · doi:10.1371/journal.pone.0247280 · Cited by 94 · see citing works
Self-citationBrown, L., Rando, A. A., Eichel, K., Van Dam, N. T., Celano, C. M., Huffman, J. C., & Morris, M. E. (2021) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000900 · Cited by 93 · see citing works
Heart Rate Variability and Performance of Commercial Airline Pilots during Flight Simulations
Cao, X., MacNaughton, P., Cadet, L. R., Laurent, J. G. C., Flanigan, S. S., Vallarino, J., Donnelly-McLay, D., Christiani, D. C., Spengler, J. D., & Allen, J. G. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16020237 · Cited by 88 · see citing works
Liu, K. Y., Elliott, T., Knowles, M., & Howard, R. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101539 · Cited by 84 · see citing works
10-Second heart rate variability and cognitive function in old age
Mahinrad, S., Jukema, J. W., van Heemst, D., Macfarlane, P. W., Clark, E., de Craen, A. J. M., & Sabayan, B. (2016) · Neurology · doi:10.1212/wnl.0000000000002499 · Cited by 75 · see citing works
Schaich, C. L., Malaver, D., Chen, H., Shaltout, H. A., Hazzouri, A. Z. A., Herrington, D. M., & Hughes, T. M. (2020) · Journal of the American Heart Association · doi:10.1161/jaha.119.013827 · Cited by 63 · see citing works
The Over 50s in a Changing Ireland Economic Circumstances, Health and Well-Being
Nolan, A., O’Regan, C., Dooley, C., Wallace, D., Hever, A. M., Cronin, H., Hudson, E. M., & Kenny, R. A. (2014) · doi:10.38018/tildare.2014-00 · Cited by 59 · see citing works
Self-citationThe Role of Biomarkers in Psychiatry.
Lozupone, M., la Montagna, M., D'Urso, F., Daniele, A., Greco, A., Seripa, D., Logroscino, G., Bellomo, A., & Panza, F. (2019) · Advances in Experimental Medicine and Biology · doi:10.1007/978-3-030-05542-4_7 · Cited by 49 · see citing works
Hazzouri, A. Z. A., Elfassy, T., Carnethon, M. R., Lloyd‐Jones, D. M., & Yaffe, K. S. (2017) · American Journal of Hypertension · doi:10.1093/ajh/hpx125 · Cited by 54 · see citing works
Meditation and cognitive ageing: the role of mindfulness meditation in building cognitive reserve.
Malinowski, P., & Shalamanova, L. (2017) · Journal of Cognitive Enhancement · doi:10.1007/s41465-017-0022-7 · Cited by 50 · see citing works
Resting heart rate variability, attention and attention maintenance in young adults
Siennicka, A. E., Quintana, D. S., Fedurek, P., Wijata, A. M., Paleczny, B., Ponikowska, B., & Danel, D. P. (2019) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2019.06.017 · Cited by 53 · see citing works
McFall, G. P., McDermott, K. L., & Dixon, R. A. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-180571 · Cited by 52 · see citing works
Nicolini, P., Mari, D., Abbate, C., Inglese, S., Bertagnoli, L., Tomasini, E., Rossi, P. D., & Lombardi, F. (2020) · Scientific Reports · doi:10.1038/s41598-020-68131-x · Cited by 49 · see citing works
Eggenberger, P., Annaheim, S., Kündig, K. A., Rossi, R. M., Münzer, T., & de Bruin, E. D. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.00197 · Cited by 45 · see citing works
Hypertension-related risk for dementia: A summary review with future directions.
Daugherty, A. M. (2021) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2021.03.002 · Cited by 39 · see citing works
Heart Rate Variability and Cognition: A Narrative Systematic Review of Longitudinal Studies
Nicolini, P., Malfatto, G., & Lucchi, T. A. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13010280 · Cited by 47 · see citing works
Forte, G., & Casagrande, M. (2024) · Neuroscience · doi:10.1016/j.neuroscience.2024.12.004 · Cited by 48 · see citing works
Relationship between cardiac autonomic function and cognitive function in A lzheimer's disease
Nonogaki, Z., Umegaki, H., Makino, T., Suzuki, Y., & Kuzuya, M. (2015) · Geriatrics and gerontology international/Geriatrics & gerontology international · doi:10.1111/ggi.12679 · Cited by 40 · see citing works
Herold, F., Gronwald, T., Scholkmann, F., Zohdi, H., Wyser, D., Müller, N. G., & Hamacher, D. (2020) · Brain Sciences · doi:10.3390/brainsci10060342 · Cited by 40 · see citing works
Dolphin, H., Dukelow, T., Finucane, C., Commins, S., McElwaine, P., & Kennelly, S. P. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.897303 · Cited by 38 · see citing works
Self-citationAlomri, R. M., Kennedy, G. A., Wali, S., Alhejaili, F. F., & Robinson, S. R. (2021) · Scientific Reports · doi:10.1038/s41598-021-91329-6 · Cited by 40 · see citing works
Dupuy, O., Bosquet, L., Fraser, S., Labelle, V., & Bherer, L. (2018) · Brain and Cognition · doi:10.1016/j.bandc.2018.06.003 · Cited by 37 · see citing works
Knight, E. L., Giuliano, R. J., Shank, S. W., Clarke, M. M., & Almeida, D. M. (2020) · Psychophysiology · doi:10.1111/psyp.13622 · Cited by 38 · see citing works
Neurocardiovascular Instability and Cognition.
O’Callaghan, S., & Kenny, R. A. (2016) · Europe PMC (PubMed Central) · Cited by 37 · see citing works
Self-citationKim, M. S., Yoon, J. H., & Hong, J. M. (2018) · Clinical Neurophysiology · doi:10.1016/j.clinph.2018.05.004 · Cited by 37 · see citing works
Hilgarter, K., Schmid‐Zalaudek, K., Csanády-Leitner, R., Mörtl, M., Rössler, A., & Lackner, H. K. (2021) · PLoS ONE · doi:10.1371/journal.pone.0246968 · Cited by 41 · see citing works
Bassi, A., & Bozzali, M. (2015) · Frontiers in Neurology · doi:10.3389/fneur.2015.00182 · Cited by 33 · see citing works
Nicolini, P., Lucchi, T. A., Abbate, C., Inglese, S., Tomasini, E., Mari, D., Rossi, P. D., & Vicenzi, M. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.886023 · Cited by 31 · see citing works
Brain–Heart Interaction and the Experience of Flow While Playing a Video Game
Khoshnoud, S., Igarzábal, F. A., & Wittmann, M. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.819834 · Cited by 27 · see citing works
Nashiro, K., Yoo, H. J., Cho, C., Min, J., Feng, T., Nasseri, P., Bachman, S. L., Lehrer, P. M., Thayer, J. F., & Mather, M. (2022) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-022-09558-y · Cited by 26 · see citing works
A Neurovisceral Integrative Study on Cognition, Heart Rate Variability, and Fitness in the Elderly
Matos, F. D. O., Vido, A., Garcia, W. F., Lopes, W. A., & Pereira, A. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.00051 · Cited by 23 · see citing works
Resting heart rate variability as a possible marker of cognitive decline
Grässler, B., Hökelmann, A., & Cabral, R. H. (2020) · Kinesiology · doi:10.26582/k.52.1.9 · Cited by 23 · see citing works
Sternberg, Z. (2015) · Autoimmunity Reviews · doi:10.1016/j.autrev.2015.04.012 · Cited by 22 · see citing works
Recent syncope and unexplained falls are associated with poor cognitive performance
Frewen, J., King-Kallimanis, B., Boyle, G., & Kenny, R. A. (2015) · Age and Ageing · doi:10.1093/ageing/afu191 · Cited by 21 · see citing works
Self-citationCosta, M. D., Redline, S. S., Hughes, T. M., Heckbert, S. R., & Goldberger, A. L. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.708130 · Cited by 21 · see citing works
Sattin, D., Duran, D., Visintini, S., Schiaffi, E., Panzica, F., Carozzi, C., Sebastiano, D. R., Visani, E., Tobaldini, E., Carandina, A., et al. (2021) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2021.652080 · Cited by 21 · see citing works
Stressful life events and orthostatic blood pressure recovery in older adults.
Feeney, J. C., Dooley, C., Finucane, C., & Kenny, R. A. (2014) · Health Psychology · doi:10.1037/hea0000194 · Cited by 20 · see citing works
Self-citationThe Renaissance of Heart Rate Variability as a Predictor of Cognitive Functioning
Elias, M. F., & Torres, R. V. (2017) · American Journal of Hypertension · doi:10.1093/ajh/hpx150 · Cited by 20 · see citing works
Short-Term Effects of Heart Rate Variability Biofeedback on Working Memory
Bahameish, M., & Stockman, T. (2024) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-024-09624-7 · Cited by 21 · see citing works
Links between the brain and body during sleep: implications for memory processing
Whitehurst, L. N., Subramoniam, A., Krystal, A. D., & Prather, A. A. (2022) · Trends in Neurosciences · doi:10.1016/j.tins.2021.12.007 · Cited by 18 · see citing works
Ammar, A., Boujelbane, M. A., Simak, M., Fraile-Fuente, I., Rizz, N., Washif, J. A., Żmijewski, P., Jahrami, H., & Schöllhorn, W. I. (2023) · Biology of Sport · doi:10.5114/biolsport.2024.133481 · Cited by 17 · see citing works
Cardiac autonomic function and cognitive performance in patients with atrial fibrillation
Hämmerle, P., Aeschbacher, S., Springer, A., Eken, C., Coslovsky, M., Dutilh, G., Moschovitis, G., Rodondi, N., Chocano, P., Conen, D., et al. (2021) · Clinical Research in Cardiology · doi:10.1007/s00392-021-01900-4 · Cited by 17 · see citing works
Lee, D., Kwon, W., Heo, J., & Park, J. Y. (2022) · Brain Sciences · doi:10.3390/brainsci12020172 · Cited by 16 · see citing works
Davis, J. R. C., Knight, S. P., Donoghue, O. A., Hernández, B., Rizzo, R., Kenny, R. A., & Romero‐Ortuño, R. (2021) · Frontiers in Network Physiology · doi:10.3389/fnetp.2021.754477 · Cited by 15 · see citing works
Self-citationDaniel, J. M., Lindsey, S. H., Mostany, R., Schrader, L. A., & Zsombok, A. (2023) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2023.101068 · Cited by 17 · see citing works
Cibulcova, V., Koenig, J., Jackowska, M., & Jandackova, V. K. (2024) · Clinical Autonomic Research · doi:10.1007/s10286-024-01053-0 · Cited by 15 · see citing works
Schwarck, S., Busse, N., Ziegler, G., Glanz, W., Becke, A., & Düzel, E. (2021) · Frontiers in Sports and Active Living · doi:10.3389/fspor.2021.684089 · Cited by 14 · see citing works
Howell, B. C., & Hamilton, D. A. (2021) · Physiology & Behavior · doi:10.1016/j.physbeh.2021.113647 · Cited by 14 · see citing works
Heart Rate Variability and Academic Performance of First-Year University Students
Thomas, B. L., & Viljoen, M. (2019) · Neuropsychobiology · doi:10.1159/000500613 · Cited by 14 · see citing works
Autonomic modulation and the risk of dementia in a middle-aged cohort: A 17-year follow-up study
Chou, Y.-T., Sun, Z., Shao, S., Yang, Y., Lu, F.-H., Chang, C., Liao, T.-C., Li, C., Chen, T. H.-H., Wu, J., et al. (2022) · Biomedical Journal · doi:10.1016/j.bj.2022.12.004 · Cited by 14 · see citing works
Heffner, K. L., Quiñones-Cordero, M. M., Gallegos, A. M., Crean, H. F., Lin, F. V., & Suhr, J. A. (2021) · Aging & Mental Health · doi:10.1080/13607863.2021.1904829 · Cited by 13 · see citing works
Pruneti, C. A., Ferrari, S., & Guidotti, S. (2023) · Journal of Clinical Sport Psychology · doi:10.1123/jcsp.2022-0016 · Cited by 15 · see citing works
Associations between Cardiovascular Signal Entropy and Cognitive Performance over Eight Years
Knight, S. P., Newman, L., Scarlett, S., O’Connor, J. D., Davis, J. R. C., Looze, C. D., Kenny, R. A., & Romero‐Ortuño, R. (2021) · Entropy · doi:10.3390/e23101337 · Cited by 12 · see citing works
Self-citationCardiovascular reactivity during sadness induction predicts inhibitory control performance
Hoffmann, A., Ellmerer, P., Maran, T. K., & Sachse, P. (2022) · Physiology & Behavior · doi:10.1016/j.physbeh.2022.113869 · Cited by 13 · see citing works
Ebinger, J., Driver, M. P., Huang, T.-Y., Magraner, J., Botting, P., Wang, M.-H., Chen, P.-S., Bello, N. A., Ouyang, D., Theurer, J., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-52406-8 · Cited by 13 · see citing works
Martin, M. S., Roche, F., Thomas-Antérion, C., Barthélemy, J., Sforza, E. A., & the PROgnostic OF cardiovascular and cerebrovascular events study group (2015) · Journal of the American Geriatrics Society · doi:10.1111/jgs.13252 · Cited by 11 · see citing works
Hou, C.-J., Chen, Y.-T., Capilayan, M., Huang, M., & Huang, J.-J. (2022) · Applied Sciences · doi:10.3390/app12094164 · Cited by 10 · see citing works
Berendzen, K. M., Bales, K. L., & Manoli, D. S. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105339 · Cited by 10 · see citing works
Midlife heart rate variability and cognitive decline: A large longitudinal cohort study
Jandackova, V. K., Scholes, S., Britton, A. R., & Steptoe, A. (2024) · International Journal of Clinical and Health Psychology · doi:10.1016/j.ijchp.2024.100518 · Cited by 9 · see citing works
Maduro, P. A., Maduro, L. A. R., Lima, P. E., SILVA, A. P. S. D., da Silva, R. D. C. M., Rocha, A. S. L., Ribeiro, M. J. S., Matoso, J. M. D., Gambassi, B. B., & Schwingel, P. A. (2025) · Neurology International · doi:10.3390/neurolint17050074 · Cited by 9 · see citing works
Arechavala, R. J., Rochart, R., Kloner, R. A., Liu, A., Wu, D.-A. J., Hung, S., Shimojo, S., Fonteh, A. N., Kleinman, M. T., Harrington, M. G., et al. (2021) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2021.10.007 · Cited by 9 · see citing works
Effects of Alzheimer’s disease of varying severity on cardiac and autonomic function
Geng, D., Wang, Y., Gao, Z., Wang, J., Liu, X., & Pang, G. (2022) · Brazilian Journal of Medical and Biological Research · doi:10.1590/1414-431x2021e11504 · Cited by 8 · see citing works
Sympathetic Vagal Balance and Cognitive Performance in Young Adults during the NIH Cognitive Test
Lee, J., & Shields, R. K. (2022) · Journal of Functional Morphology and Kinesiology · doi:10.3390/jfmk7030059 · Cited by 8 · see citing works
Chalmers, T., Eaves, S., Lees, T., Lin, C., Newton, P. J., Clifton-Bligh, R. J., McLachlan, C. S., Gustin, S. M., & Lal, S. (2022) · Brain and Behavior · doi:10.1002/brb3.2481 · Cited by 8 · see citing works
Remembering what did not happen: the role of hypnosis in memory recall and false memories formation
Leo, D. G., Bruno, D., & Proietti, R. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1433762 · Cited by 7 · see citing works
Divjak, D., Sun, H., & Milin, P. (2023) · Journal of Neurolinguistics · doi:10.1016/j.jneuroling.2023.101177 · Cited by 7 · see citing works
Marino, F., Wu, H., Etzkorn, L., Rooney, M. R., Soliman, E. Z., Deal, J. A., Crainiceanu, C. M., Spira, A. P., Wanigatunga, A. A., Schrack, J. A., et al. (2024) · Sensors · doi:10.3390/s24134060 · Cited by 7 · see citing works
Mind the Rhythm: ECG QT Dispersion and Cognition in Healthy Older Adults
Vrinceanu, T., Lagacé-Lavoie, G., Kaushal, N., Esmail, A., Vu, T. T. M., Berryman, N., Nigam, A., & Bherer, L. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.566341 · Cited by 7 · see citing works
Hu, G., Collet, J., Zhao, M., Lu, Y., & Wang, Y. (2023) · Brain Sciences · doi:10.3390/brainsci13020344 · Cited by 7 · see citing works
Sarlon, J., Plaszczyk, S., Engel, S., & Oertel‐Knöchel, V. (2017) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2017.11.011 · Cited by 6 · see citing works
Zhou, D., Lu, C., Su, C., Liu, Y., Chen, J., Zhang, F., Bai, H., & Li, Q. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.1031031 · Cited by 5 · see citing works
Putranto, R., Shatri, H., Faisal, E., Irvianita, V., & Megantara, M. A. (2025) · Heart and Mind · doi:10.4103/hm.hm-d-24-00146 · Cited by 5 · see citing works
Derby, C. A., Qin, J., Liu, G., Wang, C., & Sloan, R. P. (2025) · Health Science Reports · doi:10.1002/hsr2.71152 · Cited by 5 · see citing works
Wecht, J. M., Weir, J. P., Peters, C. G., Weber, E., Wylie, G. R., & Chiaravalloti, N. C. (2023) · Journal of Neurotrauma · doi:10.1089/neu.2022.0445 · Cited by 5 · see citing works
Kent, C. D. (2017) · Cited by 5 · see citing works
Effects of interoceptive accuracy on timing control in the synchronization tapping task
Tomyta, K., Katahira, K., & Ohira, H. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.907836 · Cited by 5 · see citing works
Impact of PTSD and Obstructive Sleep Apnea on Cognition in Older Adult Veterans
Noland, M., Paolillo, E. W., Noda, A. M., Lazzeroni, L. C., Holty, J.-E. C., Kuschner, W. G., Yesavage, J. A., & Kinoshita, L. M. (2023) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/08919887221149132 · Cited by 5 · see citing works
Li, Z., Fan, J., Gong, Z., Tang, J., Yang, Y., Liu, M., & Zhang, M. (2025) · Clinical Autonomic Research · doi:10.1007/s10286-025-01112-0 · Cited by 4 · see citing works
Associations between cardiac autonomic function and cognition across the adult female lifespan
Duval, A., & Ditto, B. (2025) · Autonomic Neuroscience · doi:10.1016/j.autneu.2025.103316 · Cited by 4 · see citing works
Opera trainees’ cognitive functioning is associated with physiological stress during performance
Motamed Yeganeh, N., McKee, T., Werker, J. F., Hermiston, N., Boyd, L. A., & Cui, A.-X. (2024) · Musicae Scientiae · doi:10.1177/10298649231184817 · Cited by 4 · see citing works
Effects of Alzheimer’s disease of varying severity on cardiac and autonomic function
Geng, D., Wang, Y., Gao, Z., Wang, J., Liu, X., & Pang, G. (2022) · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · Cited by 4 · see citing works
Attreed, A., Morand, L. R., Pond, D. C., & Sturmberg, J. P. (2024) · Cureus · doi:10.7759/cureus.61703 · Cited by 4 · see citing works
The physiological basis of leader-follower roles in the dyadic alternating tapping task
Tomyta, K., Saito, N., & Ohira, H. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1232016 · Cited by 3 · see citing works
Amaefule, C. O., Lüdtke, S., Klostermann, A., Hinz, C. A., Kampa, I., Kirste, T., & Teipel, S. J. (2022) · Gerontology · doi:10.1159/000527503 · Cited by 3 · see citing works
Sharma, N., & Shenoy, S. (2023) · NeuroRegulation · doi:10.15540/nr.10.2.78 · Cited by 3 · see citing works
Detecting Cognitive Decline in Early Alzheimer’s Patients Using Wearable Technologies
Alharbi, E., Alomainy, A., & Jones, J. M. (2020) · IEEE International Conference on Healthcare Informatics (ICHI) · doi:10.1109/ichi48887.2020.9374303 · Cited by 3 · see citing works
Du, L., Jia, M., Chen, T., Zhang, Y., Zhang, Y., Xu, Z., Su, Y., Xing, X., Chen, T., & Yang, C. (2025) · Journal of Safety Science and Resilience · doi:10.1016/j.jnlssr.2025.01.004 · Cited by 2 · see citing works
Lower heart rate variability is associated with worse memory function: The Maastricht Study
Okoro, C., Zhou, T. L., Kallen, C., Köhler, S., Schram, M. T., & Kroon, A. A. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251389985 · Cited by 2 · see citing works
Bhuachalla, B. N., McGarrigle, C. A., & Kenny, R. A. (2015) · Medical Hypotheses · doi:10.1016/j.mehy.2015.07.020 · Cited by 2 · see citing works
Self-citationChronic Kidney Disease and Cognitive Dysfunction after Cardiac Surgery
Du, J., Dou, D., Shah, R. N., Yan, F., & Han, Z. (2025) · Cardiovascular Innovations and Applications · doi:10.15212/cvia.2024.0068 · Cited by 1 · see citing works
Heart rate variability as an indicator of brain health in neurodegeneration
Kubra, G., & Raza, M. L. (2025) · Progress in brain research · doi:10.1016/bs.pbr.2025.04.007 · Cited by 1 · see citing works
Mao, T., Huang, C., Chen, C., Lai, Y.-R., & Lee, S.-S. (2023) · American Journal of Health Behavior · doi:10.5993/ajhb.47.4.17 · Cited by 1 · see citing works
Evaluating Children’s Engagement Through Wrist-worn Biosensors and LSTM Network
Yu, S., Shui, X., Hao, S., Zhou, Z., Yu, J., Zhang, D., & Liang, J. (2024) · International Symposium on Computer and Information Processing Technology (ISCIPT) · doi:10.1109/iscipt61983.2024.10672656 · Cited by 1 · see citing works
- Authors
- Frewen, J., Finucane, C., Savva, G. M., Boyle, G., Coen, R. F., & Kenny, R. A.
- Affiliations
- Trinity College Dublin (IE)
- St. James's Hospital (IE)
- Corresponding author
- Frewen, John
- Venue
- Clinical Autonomic Research
- Published
- 2013-09-28
- Volume
- 23
- Issue
- 6
- Pages
- 313-323
- ISSN
- 0959-9851 (ISSN-L)
- 1619-1560
- OpenAlex
- W1980021733
- Cited by
- 119
- References
- 49
- Citations by year
- 2026: 3 · 2025: 11 · 2024: 12 · 2023: 16 · 2022: 15 · 2021: 14 · 2020: 11 · 2019: 8 · 2018: 5 · 2017: 9 · 2016: 5 · 2015: 6 · 2014: 4
- FWCI
- 3.36
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- cc-by-nc-sa
- www.springer.com/tdm (tdm)
- Locations
- Clinical Autonomic Research (publishedVersion)
- PubMed (publishedVersion)
- UEA Digital Repository (University of East Anglia) (acceptedVersion)
- Arrow@dit (Dublin Institute of Technology) (submittedVersion, cc-by-nc-sa)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Disease Prevention
- Keywords
- heart rate variability, cognitive function, older adults, autonomic dysfunction, SDNN, LF/HF ratio, paced breathing, Montreal Cognitive Assessment, memory retrieval, language
- MeSH terms
- Aged, Aging, Cognition, Cross-Sectional Studies, Electrocardiography, Female, Heart Rate, Humans, Longitudinal Studies, Male, Middle Aged, Neuropsychological Tests
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
